Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add oegeyilmaz9/seo-aeo-geo-ultimate/plugin install seo-aeo-geo-ultimateWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-agentic)<a href="https://agentmods.dev/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-agentic"><img src="https://agentmods.dev/badge/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-agentic/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-agentic"><img src="https://agentmods.dev/badge/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-agentic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.00643 |
| Opus 5 | $0.00036 | $0.00321 |
| Sonnet 5 | $0.00015 | $0.00129 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
seo-agentic scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Web Readiness
Audit whether a permitted agent can perceive, understand, and safely complete a bounded task using the same truthful interface and controls available to users.
Read agent-task-protocol.md before a formal audit.
Procedure
- Define one user-authorized task, start/end states, account/access assumptions, locale/device, risk class, owner, and success evidence.
- Capture screenshot, DOM, accessibility tree, accessible names/roles/states, focus order, form labels/errors, dynamic state, network-independent confirmations, and any approved agent trace.
- Verify semantic controls, stable identifiers/state, keyboard operation, loading/error recovery, consent, authentication, rate limits, and human-readable confirmation.
- Require explicit confirmation for purchase, publication, deletion, permission, financial, legal, or other consequential actions. Never weaken security, privacy, bot controls, or anti-abuse systems for convenience.
- Test task completion with bounded safe inputs in an authorized environment. Record partial completion, blocked access, ambiguity, and irreversible steps; do not simulate success.
- Evaluate UCP, ACP, MCP, A2A, or similar capabilities only against current specifications and a documented consumer. Record discovery location, operations, authentication, version, fallback, owner, and policy boundary.
- Route crawl/index concerns to
seo-technical, commerce data toseo-commerce, accessibility remediation to the implementation owner, and search/AI measurement toseo-performanceorai-visibility-monitor. - Package findings as SEO Findings
1.1.0withtask_floworprotocol_capabilitytargets andagentic,accessibility,policy,technical, orcommercecategories.
Guardrails
Do not call semantic HTML a ranking factor, protocol support a visibility requirement, or successful automation evidence of universal agent compatibility. Do not bypass authentication, CAPTCHA, consent, rate limits, paywalls, robots, or destructive confirmations.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 34 lines · 73 tokens per session scan A ffbc88ba1c14
seo-agentic is a skill published in the GitHub repository oegeyilmaz9/seo-aeo-geo-ultimate (2 stars, last pushed 23d ago), licensed Apache-2.0. It adds 73 tokens to every session and 643 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
ansvisor-aeo-coach-standalone
Standalone (no-MCP) version of the Ansvisor AEO Coach. Use this only when the user's Claude client cannot connect to the Ansvisor MCP server (e.g. claude.ai web without a Connector configured). Fetches live data from the Ansvisor REST API directly with the user's API key via code execution. For clients that support…
seo-vertical-detect
Classify a website as ecommerce, local-business, blog-publisher, saas, docs, or generic (multiple may apply), and report detected locales, from the persisted PageSnapshot plus the platform detector's vertical hints. Used by seo-orchestrator to decide which conditional modules to run and how to reweight the scores.
ansvisor-aeo-coach
Acts as an Answer Engine Optimization (AEO) analyst for users running Ansvisor. Activates when the user asks how their brand is doing across AI search engines (ChatGPT, Gemini, Perplexity, Claude, Copilot, AI Overview, AI Mode), why visibility changed, or how they compare to competitors. Uses the Ansvisor MCP server…
seo-fix-apply
Writer protocol preloaded into the seo-fixer-writer agent — how confirmed SEO/AI-search fixes are applied (git pre-flight, backup, Edit/Write for local diffs, ticketed adapter CLIs for remote targets, re-verify, publish only on a second ticket, rollback) and the findings-array output contract. Used only by the fix…
audit
Audit a website or web codebase for SEO and AI-search (GEO/AEO) — produces two independent 0-100 scores (Search SEO + AI Visibility) plus a prioritized, evidence-backed report persisted on disk. Read-only; never writes to the project. Use when the user asks to audit, analyze, check, or score a site's SEO, structured…
orangeo-ai-visibility-skill
Audit brand AI visibility readiness and prepare OranGEO-style GEO, AEO, LLM SEO, and AI search optimization action plans. Use when asked for a Claude Code skill, Codex skill, GEO skill, generative engine optimization skill, answer engine optimization skill, AI visibility audit, AI search visibility checker, llms.txt…